Creating a Predictive Manufacturing Roadmap Using Uncertainty Quantification and Machine Learning - Free webinar
October 10, 2023 2pm EDT
During this webinar, ASM and SmartUQ will present how manufacturers can create a roadmap to improve the manufacturing process using uncertainty quantification and machine learning. The roadmap connects product quality and performance to preventative maintenance and supply chain management, allowing for optimization throughout your entire business.
Participants should expect to gain knowledge about the following:
- How machine learning can predict critical design properties of manufactured components, reducing the risk of costly rework or recalls.
- How uncertainty quantification can account for variability in manufacturing processes and materials, improving the accuracy and reliability of predictions.
- How predicting component performance can lead to optimized asset management programs, reducing downtime and labor costs.
- How a dynamic preventative maintenance program can optimize the supply chain of spare parts, ensuring timely availability and preventing costly delays.
We invite you to join us for this interactive webinar where our experts will be answering attendee questions during the presentation.
Co-Presenter: Gavin Jones
Gavin Jones, Principal Application Engineer at SmartUQ, is responsible for performing simulation and statistical work for clients in the automotive, aerospace, defense, gas turbine, and other industries. He is a member of the SAE Chassis Committee as well as a member of AIAA’s Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.
Kris Waninger is a Sales Engineer at ASM International responsible for the Data Ecosystem line of products. With a diverse engineering background in both manufacturing and research environments, Kris has a passion for identifying clients’ unique needs and meeting them using ASM’s vast materials reference information and data. Kris holds a B.S. in Welding Engineering from The Ohio State University.